Computational Efficiency. To further test the performance of our method, we compare the number of network parameters, FLOPs and running time (in seconds) of our network as compared to other networks. All the methods were implemented on a computer with Intel CPU i7-8700 @ 3.70GHz, 32 GB RAM and an NVIDIA GeForce RTX 2080Ti. As shown in Table REF , LFSR methods achieve higher PSNR/SSIM scores and have fewer parameters/FLOPs than SISR methods. Moreover, compared with resLF [1]} and LF-InterNet [2]}, our network can achieve better performance with relatively fewer parameters. Note that, although our method achieves comparable performance with ATO [3]} and LF-DFnet [4]} on \(5\times 5\)  and \(9\times 9\)  LFs, the number of parameters, FLOPs and running time of our network are much fewer than those of ATO [3]} and LF-DFnet [4]}. The above results demonstrate the high efficiency of our proposed method.
